Publisher: Chapman and Hall/CRC

Discrete Mathematics with Coding Front Cover

Discrete Mathematics with Coding

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  • Length: 529 pages
  • Publication Date: 2023-08-21
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Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis Front Cover

Structural Equation Modeling Using R/SAS: A Step-by-Step Approach with Real Data Analysis

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  • Length: 408 pages
  • Publication Date: 2023-08-21
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The Garbage Collection Handbook: The Art of Automatic Memory Management Front Cover

The Garbage Collection Handbook: The Art of Automatic Memory Management

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  • Length: 573 pages
  • Publication Date: 2023-07-28
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Telling Stories with Data: With Applications in R Front Cover

Telling Stories with Data: With Applications in R

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  • Length: 598 pages
  • Publication Date: 2023-07-27
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Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data Front Cover

Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data

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  • Length: 310 pages
  • Publication Date: 2023-09-04
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What AI Can Do: Strengths and Limitations of Artificial Intelligence Front Cover

What AI Can Do: Strengths and Limitations of Artificial Intelligence

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  • Length: 444 pages
  • Publication Date: 2025-09-01
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Topics in Graph Theory Front Cover

Topics in Graph Theory

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  • Length: 515 pages
  • Publication Date: 2023-07-18
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Introduction to Python for Humanists Front Cover

Introduction to Python for Humanists

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  • Length: 340 pages
  • Publication Date: 2023-07-26
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Applications of Regression for Categorical Outcomes Using R Front Cover

Applications of Regression for Categorical Outcomes Using R

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  • Length: 222 pages
  • Publication Date: 2023-07-26
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Machine Learning for Factor Investing: Python Version Front Cover

Machine Learning for Factor Investing: Python Version

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  • Length: 340 pages
  • Publication Date: 2023-08-08
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Computational Mathematics: An introduction to Numerical Analysis and Scientific Computing with Python Front Cover

Computational Mathematics: An introduction to Numerical Analysis and Scientific Computing with Python

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  • Length: 508 pages
  • Publication Date: 2023-06-19
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Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests Front Cover

Sparse Graphical Modeling for High Dimensional Data: A Paradigm of Conditional Independence Tests

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  • Length: 130 pages
  • Publication Date: 2023-08-02
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